MedTrace Logo

Research on Acetabular Labrum Injury Based on MR: Multi-angle Deep Learning Model

NCT04950036 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1261

Last updated 2021-07-02

No results posted yet for this study

Summary

The purpose of this study is to study the MRI images of acetabular labrum injury by deep learning method, and try to establish a combination model of axial and coronal serial images, and compare with the diagnostic accuracy of radiologists, to establish a deep learning method for accurate identification and classification of acetabular labrum injury.

Conditions

  • Labrum Injury of the Hip Joint

Interventions

DIAGNOSTIC_TEST

Diagnostic Test

The results of hip arthroscopy were taken as the gold standard and MRI examination was taken as the research object.

Sponsors & Collaborators

  • Peking University Third Hospital

    lead OTHER

Principal Investigators

  • huishu Yuan, md · Peking University Third Hospital

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-12-01
Primary Completion
2021-04-30
Completion
2021-05-30

Countries

  • China

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04950036 on ClinicalTrials.gov